Batch-normalization of cerebellar and medulloblastoma gene expression datasets utilizing empirically defined negative control genes
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Batch-normalization of cerebellar and medulloblastoma gene expression datasets utilizing empirically defined negative control genes
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2019-01-31
DOI
10.1093/bioinformatics/btz066
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Novel molecular subgroups for clinical classification and outcome prediction in childhood medulloblastoma: a cohort study
- (2017) Edward C Schwalbe et al. LANCET ONCOLOGY
- The whole-genome landscape of medulloblastoma subtypes
- (2017) Paul A. Northcott et al. NATURE
- MethPed: a DNA methylation classifier tool for the identification of pediatric brain tumor subtypes
- (2015) Anna Danielsson et al. Clinical Epigenetics
- Genomic and transcriptomic analyses match medulloblastoma mouse models to their human counterparts
- (2014) Julia Pöschl et al. ACTA NEUROPATHOLOGICA
- Preserving biological heterogeneity with a permuted surrogate variable analysis for genomics batch correction
- (2014) Hilary S. Parker et al. BIOINFORMATICS
- Tumor-Associated Macrophages in SHH Subgroup of Medulloblastomas
- (2014) A. S. Margol et al. CLINICAL CANCER RESEARCH
- Enhancer hijacking activates GFI1 family oncogenes in medulloblastoma
- (2014) Paul A. Northcott et al. NATURE
- Decoding the regulatory landscape of medulloblastoma using DNA methylation sequencing
- (2014) Volker Hovestadt et al. NATURE
- DNA methylation profiling of medulloblastoma allows robust subclassification and improved outcome prediction using formalin-fixed biopsies
- (2013) Edward C. Schwalbe et al. ACTA NEUROPATHOLOGICA
- virtualArray: a R/bioconductor package to merge raw data from different microarray platforms
- (2013) Andreas Heider et al. BMC BIOINFORMATICS
- Human housekeeping genes, revisited
- (2013) Eli Eisenberg et al. TRENDS IN GENETICS
- Aberrant patterns of H3K4 and H3K27 histone lysine methylation occur across subgroups in medulloblastoma
- (2012) Adrian M. Dubuc et al. ACTA NEUROPATHOLOGICA
- Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas
- (2012) Marcel Kool et al. ACTA NEUROPATHOLOGICA
- R/DWD: distance-weighted discrimination for classification, visualization and batch adjustment
- (2012) Hanwen Huang et al. BIOINFORMATICS
- The sva package for removing batch effects and other unwanted variation in high-throughput experiments
- (2012) Jeffrey T. Leek et al. BIOINFORMATICS
- Batch effect removal methods for microarray gene expression data integration: a survey
- (2012) C. Lazar et al. BRIEFINGS IN BIOINFORMATICS
- Predicting cell-type-specific gene expression from regions of open chromatin
- (2012) A. Natarajan et al. GENOME RESEARCH
- Novel mutations target distinct subgroups of medulloblastoma
- (2012) Giles Robinson et al. NATURE
- Subgroup-specific structural variation across 1,000 medulloblastoma genomes
- (2012) Paul A. Northcott et al. NATURE
- Rapid, reliable, and reproducible molecular sub-grouping of clinical medulloblastoma samples
- (2011) Paul A. Northcott et al. ACTA NEUROPATHOLOGICA
- Molecular subgroups of medulloblastoma: the current consensus
- (2011) Michael D. Taylor et al. ACTA NEUROPATHOLOGICA
- Using control genes to correct for unwanted variation in microarray data
- (2011) J. A. Gagnon-Bartsch et al. BIOSTATISTICS
- Interactome Networks and Human Disease
- (2011) Marc Vidal et al. CELL
- Removing Batch Effects in Analysis of Expression Microarray Data: An Evaluation of Six Batch Adjustment Methods
- (2011) Chao Chen et al. PLoS One
- Medulloblastoma Comprises Four Distinct Molecular Variants
- (2010) Paul A. Northcott et al. JOURNAL OF CLINICAL ONCOLOGY
- Network medicine: a network-based approach to human disease
- (2010) Albert-László Barabási et al. NATURE REVIEWS GENETICS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started